import jakarta.annotation.Resource;

/**
 * Service class for managing search logs and related analytics.
 *
 * This service provides functionality for querying, aggregating, and managing
 * various types of search logs including search logs, click logs, favorite logs,
 * and user information logs. It supports different aggregation types for
 * analytics and reporting purposes.
 */
public class SearchLogService {

* Conçue avec ces standards après une analyse méticuleuse. Plutôt qu'en rajoutant des surcouches après coup.
* Cela permet d'utiliser de la **génération automatique de code client** dans beaucoup de langages.

### Documentation automatique

 * This class handles user identification through cookies, session management, and query tracking.
 * It provides functionality for generating unique user codes, managing user sessions,
 * and tracking search result document IDs for analytics and personalization.
 *
 */
public class UserInfoHelper {

    /**
     * Default constructor for UserInfoHelper.
     */
    public UserInfoHelper() {
        // Default constructor
    }

	app.Name = name
	app.Author = "MinIO, Inc."
	app.Version = ReleaseTag
	app.Usage = "High Performance Object Storage"
	app.Description = `Build high performance data infrastructure for machine learning, analytics and application data workloads with MinIO`
	app.Flags = GlobalFlags
	app.HideHelpCommand = true // Hide `help, h` command, we already have `minio --help`.
	app.Commands = commands

		methods: []string{http.MethodDelete, http.MethodPut, http.MethodGet},
		queries: []string{"intelligent-tiering", ""},
	},
	{
		api:     "analytics",
		methods: []string{http.MethodDelete, http.MethodPut, http.MethodGet},
		queries: []string{"analytics", ""},
	},
}

// Set of s3 handler options as bit flags.
type s3HFlag uint8

const (
	// when provided, disables Gzip compression.

 *
 * This class provides pagination functionality for various types of search logs
 * including search logs, click logs, favorite logs, and user information logs.
 * It also supports different aggregation types for analytics and reporting.
 */
public class SearchLogPager implements Serializable {

    /** Serial version UID for serialization. */
    private static final long serialVersionUID = 1L;

Ensuite, nous utilisons directement la requête et extrayons son contenu en tant qu'octets. Cela signifie que FastAPI n'essaiera même pas d'analyser le payload de la requête en tant que JSON.

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[26:33] *}

/// tip | Astuce

MinIO is a high-performance, S3-compatible object storage solution released under the GNU AGPL v3.0 license. Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

🔹 S3 API Compatible – Seamless integration with existing S3 tools
🔹 Built for AI & Analytics – Optimized for large-scale data pipelines
🔹 High Performance – Ideal for demanding storage workloads.

amot.no
amplifyapp.com
amsterdam
an.it
analytics
analytics-gateway.ap-northeast-1.amazonaws.com
analytics-gateway.ap-northeast-2.amazonaws.com
analytics-gateway.ap-south-1.amazonaws.com
analytics-gateway.ap-southeast-1.amazonaws.com
analytics-gateway.ap-southeast-2.amazonaws.com
analytics-gateway.eu-central-1.amazonaws.com
analytics-gateway.eu-west-1.amazonaws.com
analytics-gateway.us-east-1.amazonaws.com

https://www.azepug.az/posts/fastapi/#building-simple-e-commerce-with-nuxtjs-and-fastapi-series title: Building simple E-Commerce with NuxtJS and FastAPI - author: Rodrigo Arenas author_link: https://rodrigo-arenas.medium.com/ link: https://medium.com/analytics-vidhya/serve-a-machine-learning-model-using-sklearn-fastapi-and-docker-85aabf96729b title: "Serve a machine learning model using Sklearn, FastAPI and Docker" - author: Yashasvi Singh author_link: https://hashnode.com/@aUnicornDev link: https://a...